Results 141 to 150 of about 3,469 (186)
Predicting and Synchronising Co-Speech Gestures for Enhancing Human-Robot Interactions Using Deep Learning Models. [PDF]
Biomimetics (Basel)Fernández-Rodicio E +4 more
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Grammatical error correction for low-resource languages: a review of challenges, strategies, computational and future directions. [PDF]
PeerJ Comput SciMarier SM, Chen X, Zhu L, Kong X.
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A Quantitative Text Analysis of the 8050 Problem and Stratified Support in the Japanese Diet. [PDF]
CureusSakai T.
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A Cascaded Unsupervised Model for PoS Tagging [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2021 Part of speech (PoS) tagging is one of the fundamental syntactic tasks in Natural Language Processing, as it assigns a syntactic category to each word within a given sentence or context (such as noun, verb, adjective, etc.). Those syntactic categories could be used to further analyze the sentence-level syntax (e.g., dependency parsing) and thereby ...
Necva Bölücü, Burcu Can
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Weakly Supervised POS Tagging without Disambiguation [PDF]
ACM Transactions on Asian and Low-Resource Language Information Processing, 2018 Weakly supervised part-of-speech (POS) tagging is to learn to predict the POS tag for a given word in context by making use of partial annotated data instead of the fully tagged corpora. Weakly supervised POS tagging would benefit various natural language processing applications in such languages where tagged corpora are mostly unavailable.
Zhikai Zhang +2 more
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Deep Learning for Multilingual POS Tagging
2020Various neural networks for sequence labeling tasks have been studied extensively in recent years. The main research focus on neural networks for the task are range from the feed-forward neural network to the long short term memory (LSTM) network with CRF layer. This paper summarizes the existing neural architectures and develop the most representative
Alymzhan Toleu +2 more
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An Experimental Study on Vietnamese POS Tagging
2009 International Conference on Asian Language Processing, 2009In Natural Language Processing (NLP), Part-of-speech tagging is one of the important tasks. It, however, has not drawn much attention of Vietnamese researchers all over the world. In this paper, we present an experimental study on Vietnamese POS tagging.
Oanh Thi Tran +3 more
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Unsupervised multilingual learning for POS tagging
Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08, 2008We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multiple languages, the structure of each becomes more apparent. We formulate a hierarchical Bayesian model for jointly predicting bilingual streams of part-of-speech tags.
Benjamin Snyder +3 more
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Coupled POS Tagging on Heterogeneous Annotations
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017The limited scale and genre coverage of labeled data greatly hinders the effectiveness of supervised models, especially when analyzing spoken languages, such as texts transcribed from speech and informal text including tweets and product comments in Internet.
Zhenghua Li +5 more
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Improving POS tagging for ungrammatical phrases
Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments, 2012Modern part-of-speech (POS) tagging tools can provide high quality markup for grammatically correct documents, but ungrammatical sentences can be challenging for them. In the present paper we study the problem of POS-tagging for the texts that contain grammatical errors, and show how POS-taggers can be improved for the use in this context. Specifically,
Daisuke Ninomiya, Maxim Mozgovoy
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